Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Outros Autores: | , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10362/166547 |
Resumo: | Publisher Copyright: © 2024 by the authors. |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprintcellular rejectionFTIR spectroscopykidney allograftproteomic fingerprintCatalysisMolecular BiologySpectroscopyComputer Science ApplicationsPhysical and Theoretical ChemistryOrganic ChemistryInorganic ChemistryPublisher Copyright: © 2024 by the authors.Kidney transplantation is an essential medical procedure that significantly enhances the survival rates and quality of life for patients with end-stage kidney disease. However, despite advancements in immunosuppressive therapies, allograft rejection remains a leading cause of organ loss. Notably, predictions of cellular rejection processes primarily rely on biopsy analysis, which is not routinely performed due to its invasive nature. The present work evaluates if the serum proteomic fingerprint, as acquired by Fourier Transform Infrared (FTIR) spectroscopy, can predict cellular rejection processes. We analyzed 28 serum samples, corresponding to 17 without cellular rejection processes and 11 associated with cellular rejection processes, as based on biopsy analyses. The leave-one-out-cross validation procedure of a Naïve Bayes model enabled the prediction of cellular rejection processes with high sensitivity and specificity (AUC > 0.984). The serum proteomic profile was obtained in a high-throughput mode and based on a simple, rapid, and economical procedure, making it suitable for routine analyses and large-scale studies. Consequently, the current method presents a high potential to predict cellular rejection processes translatable to clinical scenarios, and that should continue to be explored.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)iNOVA4Health - pólo NMSRUNRamalhete, LuísVieira, Miguel BigotteAraújo, RúbenVigia, EmanuelAires, InêsFerreira, AnibalCalado, Cecília2024-04-24T00:48:00Z2024-042024-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/166547eng1661-6596PURE: 89127398https://doi.org/10.3390/ijms25073844info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:20:39Zoai:run.unl.pt:10362/166547Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:51:17.245226Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| title |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| spellingShingle |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint Ramalhete, Luís cellular rejection FTIR spectroscopy kidney allograft proteomic fingerprint Catalysis Molecular Biology Spectroscopy Computer Science Applications Physical and Theoretical Chemistry Organic Chemistry Inorganic Chemistry |
| title_short |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| title_full |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| title_fullStr |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| title_full_unstemmed |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| title_sort |
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint |
| author |
Ramalhete, Luís |
| author_facet |
Ramalhete, Luís Vieira, Miguel Bigotte Araújo, Rúben Vigia, Emanuel Aires, Inês Ferreira, Anibal Calado, Cecília |
| author_role |
author |
| author2 |
Vieira, Miguel Bigotte Araújo, Rúben Vigia, Emanuel Aires, Inês Ferreira, Anibal Calado, Cecília |
| author2_role |
author author author author author author |
| dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) iNOVA4Health - pólo NMS RUN |
| dc.contributor.author.fl_str_mv |
Ramalhete, Luís Vieira, Miguel Bigotte Araújo, Rúben Vigia, Emanuel Aires, Inês Ferreira, Anibal Calado, Cecília |
| dc.subject.por.fl_str_mv |
cellular rejection FTIR spectroscopy kidney allograft proteomic fingerprint Catalysis Molecular Biology Spectroscopy Computer Science Applications Physical and Theoretical Chemistry Organic Chemistry Inorganic Chemistry |
| topic |
cellular rejection FTIR spectroscopy kidney allograft proteomic fingerprint Catalysis Molecular Biology Spectroscopy Computer Science Applications Physical and Theoretical Chemistry Organic Chemistry Inorganic Chemistry |
| description |
Publisher Copyright: © 2024 by the authors. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-04-24T00:48:00Z 2024-04 2024-04-01T00:00:00Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/166547 |
| url |
http://hdl.handle.net/10362/166547 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
1661-6596 PURE: 89127398 https://doi.org/10.3390/ijms25073844 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
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application/pdf |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833597013850062848 |